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» Graph-Theoretical Methods in Computer Vision
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CVPR
2007
IEEE
16 years 8 months ago
On-line Simultaneous Learning and Tracking of Visual Feature Graphs
Model learning and tracking are two important topics in computer vision. While there are many applications where one of them is used to support the other, there are currently only...
Arnaud Declercq, Justus H. Piater
168
Voted
CVPR
2008
IEEE
16 years 8 months ago
Image partial blur detection and classification
In this paper, we propose a partially-blurred-image classification and analysis framework for automatically detecting images containing blurred regions and recognizing the blur ty...
Renting Liu, Zhaorong Li, Jiaya Jia
ICCV
2003
IEEE
16 years 8 months ago
Robust Regression with Projection Based M-estimators
The robust regression techniques in the RANSAC family are popular today in computer vision, but their performance depends on a user supplied threshold. We eliminate this drawback ...
Haifeng Chen, Peter Meer
158
Voted
ECCV
2002
Springer
16 years 8 months ago
Dense Motion Analysis in Fluid Imagery
Analyzing fluid motion is essential in number of domains and can rarely be handled using generic computer vision techniques. In this particular application context, we address two ...
Thomas Corpetti, Étienne Mémin, Patr...
159
Voted
ICPR
2008
IEEE
16 years 7 months ago
Refining PTZ camera calibration
Due to the increased need for security and surveillance, PTZ cameras are now being widely used in many domains. Therefore, it is very important for the applications like video mos...
Hassan Foroosh, Imran N. Junejo